Migration and embolization of the Amplatzer septal occluder (ASO) have been reported. However, there is only limited information on the methods of systematic retrieval of these devices. In this report, we describe the a case of a 4 year old girl who underwent closure of her atrial septal defect (ASD) using a 17 mm ASO. The device migrated in to the right atrium an anteroposterior plane 24 hours later with a resultant residual shunt. The device was successfully retrieved percutaneously and the ASD was closed using a 20 mm ASO.

Although coronary artery aneurysms occur in Kawasaki disease, giant aneurysms are rare. We report a very large coronary artery aneurysm, measuring 25 mm and involving left anterior descending artery, in a 2-year-old child with Kawasaki disease. The challenges in management of such a patient have been highlighted.

Introduction: The surgical removal of mandibular third molar (M3) teeth may result in a number of complications including pain, swelling, bleeding, alveolar osteitis or nerve dysfunction. Most of these problems are temporary, but in some cases, nerve paresthesia may become permanent and lead to functional problems. Aims and Objectives: This study aims at measuring the clinical severity of pain, swelling, muscle trismus, infection, dry socket and any nerve injury-related paresthesia after surgical removal of M3. It also assesses the validity of the postoperative symptom severity and identifies the most frequent occurrences and postoperative complications. Material and Methods: The prospective study data was collected from 163 patients visiting the Department of Oral and Maxillofacial Surgery, for surgical extraction of impacted M3. Postoperative assessment was done after 1 week at the time of suture removal for pain, swelling, wound closure, postoperative bleeding, dry socket, infection, paresthesia and trismus. Pain intensity in the form of visual analogue scale, clinical swelling determination using thread measure, trismus assessment by differences in mouth opening, paresthesia/anesthesia by questioning about tongue, chin and lip sensibility and performing neurosensory tests like 2-point discrimination, pin prick and light touch. Patients with neurosensory disturbance were followed for 6 months. Results: This study confirmed the previously reported prevalence rates of neurological deficit and demonstrated 2% incidence of lingual nerve injury where no symptom lasted for more than 12 weeks. Inferior alveolar nerve paresthesia not reported in case series. Most of the patients reported with mild pain, mild swelling and trismus at seventh postoperative day at the time of suture removal. Conclusion: Although third molar surgery is a secure and low morbidity procedure, the risk of complications will always exist and it increases with increased surgical difficulty, hence the patient should always be educated about the risks and benefits of surgery in order to ensure adequate surgical management of impacted M3.

The vibration level is a function of the defects in the bearing. By identifying a change in vibration level, one can predict the dynamic behaviour and fault in the rotor- bearing system. An imminent bearing fault detection can reduce downtime or avoid the failure of rotating machinery. The condition monitoring or maintenance schedule can be set well if the diagnosis estimate bearing fault size accurately. In view of this, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and dimension analysis (DA) was utilized to detect the bearing fault size. Several experiments were performed at different rotating speeds on the rotor-bearing system. Defects were created on bearing races artificially using electrode discharge machining (EDM) and the vibration responses are acquainted by accelerometer and Fast Fourier Techniques (FFT). With a 0.1 mm error band to fix minor bugs, a two-performance indicator evaluated the model accuracy. A comparison of the performance of models with experimental results and artificial neural network (ANN) are studied. The results showed that an ANFIS performs better over DA and ANN. This contributes to detecting bearing fault effectively and accuracy improvement in the estimation of the bearing fault size.